EEG Reactivity Predicts Individual Efficacy of Vagal Nerve
Stimulation in Intractable Epileptics

J 2019

EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics

BRÁZDIL, Milan; Irena DOLEŽALOVÁ; Eva KORIŤÁKOVÁ; Jan CHLÁDEK; Robert ROMAN et. al.

Základní údaje

Originální název

EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics

Autoři

BRÁZDIL, Milan (203 Česká republika, garant, domácí); Irena DOLEŽALOVÁ (203 Česká republika, domácí); Eva KORIŤÁKOVÁ (203 Česká republika, domácí); Jan CHLÁDEK (203 Česká republika, domácí); Robert ROMAN (203 Česká republika, domácí); Martin PAIL (203 Česká republika, domácí); Pavel JURAK (203 Česká republika); Daniel Joel SHAW (826 Velká Británie a Severní Irsko, domácí) a Jan CHRASTINA (203 Česká republika, domácí)

Vydání

FRONTIERS IN NEUROLOGY, LAUSANNE, FRONTIERS MEDIA SA, 2019, 1664-2295

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30210 Clinical neurology

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.889

Kód RIV

RIV/00216224:14110/19:00108497

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.3389/fneur.2019.00392

UT WoS

000466518800001

EID Scopus

2-s2.0-85068092549

Klíčová slova anglicky

vagal nerve stimulation; neurostimulation; epilepsy; efficacy prediction; EEG reactivity; epilepsy treatment

Štítky

14110127, 14110131, 14119612, podil, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 11. 5. 2020 13:04, Mgr. Tereza Miškechová

Anotace

V originále

Background: Chronic vagal nerve stimulation (VNS) is a well-established non-pharmacological treatment option for drug-resistant epilepsy. This study sought to develop a statistical model for prediction of VNS efficacy. We hypothesized that reactivity of the electroencephalogram (EEG) to external stimuli measured during routine preoperative evaluation differs between VNS responders and non-responders. Materials and Methods: Power spectral analyses were computed retrospectively on pre-operative EEG recordings from 60 epileptic patients with VNS. Thirty five responders and 25 non-responders were compared on the relative power values in four standard frequency bands and eight conditions of clinical assessment-eyes opening/closing, photic stimulation, and hyperventilation. Using logistic regression, groups of electrodes within anatomical areas identified as maximally discriminative by n leave-one-out iterations were used to classify patients. The reliability of the predictive model was verified with an independent data-set from 22 additional patients. Results: Power spectral analyses revealed significant differences in EEG reactivity between responders and non-responders; specifically, the dynamics of alpha and gamma activity strongly reflected VNS efficacy. Using individual EEG reactivity to develop and validate a predictive model, we discriminated between responders and non-responders with 86% accuracy, 83% sensitivity, and 90% specificity. Conclusion: We present a new statistical model with which EEG reactivity to external stimuli during routine presurgical evaluation can be seen as a promising avenue for the identification of patients with favorable VNS outcome. This novel method for the prediction of VNS efficacy might represent a breakthrough in the management of drug-resistant epilepsy, with wide-reaching medical and economic implications.

Návaznosti

LQ1601, projekt VaV

Název: CEITEC 2020 (Akronym: CEITEC2020)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, CEITEC 2020

NV19-04-00343, projekt VaV

Název: Predikce Efektu Stimulace u pacientů s Epilepsií (PRESEnCE) (Akronym: PRESEnCE)

Investor: Ministerstvo zdravotnictví ČR, Prediction of Stimulation Efficacy in Epilepsy

Citovat

BRÁZDIL, Milan; Irena DOLEŽALOVÁ; Eva KORIŤÁKOVÁ; Jan CHLÁDEK; Robert ROMAN; Martin PAIL; Pavel JURAK; Daniel Joel SHAW a Jan CHRASTINA. EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics. FRONTIERS IN NEUROLOGY. LAUSANNE: FRONTIERS MEDIA SA, 2019, roč. 10, č. 392, s. 1-11. ISSN 1664-2295. Dostupné z: https://dx.doi.org/10.3389/fneur.2019.00392.

@article{1546030,
   author = {Brázdil, Milan and Doležalová, Irena and Koriťáková, Eva and Chládek, Jan and Roman, Robert and Pail, Martin and Jurak, Pavel and Shaw, Daniel Joel and Chrastina, Jan},
   article_location = {LAUSANNE},
   article_number = {392},
   doi = {http://dx.doi.org/10.3389/fneur.2019.00392},
   keywords = {vagal nerve stimulation; neurostimulation; epilepsy; efficacy prediction; EEG reactivity; epilepsy treatment},
   language = {eng},
   issn = {1664-2295},
   journal = {FRONTIERS IN NEUROLOGY},
   title = {EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics},
   url = {https://www.frontiersin.org/articles/10.3389/fneur.2019.00392/full},
   volume = {10},
   year = {2019}
}

TY  - JOUR
ID  - 1546030
AU  - Brázdil, Milan - Doležalová, Irena - Koriťáková, Eva - Chládek, Jan - Roman, Robert - Pail, Martin - Jurak, Pavel - Shaw, Daniel Joel - Chrastina, Jan
PY  - 2019
TI  - EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics
JF  - FRONTIERS IN NEUROLOGY
VL  - 10
IS  - 392
SP  - 1-11
EP  - 1-11
PB  - FRONTIERS MEDIA SA
SN  - 16642295
KW  - vagal nerve stimulation
KW  - neurostimulation
KW  - epilepsy
KW  - efficacy prediction
KW  - EEG reactivity
KW  - epilepsy treatment
UR  - https://www.frontiersin.org/articles/10.3389/fneur.2019.00392/full
L2  - https://www.frontiersin.org/articles/10.3389/fneur.2019.00392/full
N2  - Background: Chronic vagal nerve stimulation (VNS) is a well-established non-pharmacological treatment option for drug-resistant epilepsy. This study sought to develop a statistical model for prediction of VNS efficacy. We hypothesized that reactivity of the electroencephalogram (EEG) to external stimuli measured during routine preoperative evaluation differs between VNS responders and non-responders. Materials and Methods: Power spectral analyses were computed retrospectively on pre-operative EEG recordings from 60 epileptic patients with VNS. Thirty five responders and 25 non-responders were compared on the relative power values in four standard frequency bands and eight conditions of clinical assessment-eyes opening/closing, photic stimulation, and hyperventilation. Using logistic regression, groups of electrodes within anatomical areas identified as maximally discriminative by n leave-one-out iterations were used to classify patients. The reliability of the predictive model was verified with an independent data-set from 22 additional patients. Results: Power spectral analyses revealed significant differences in EEG reactivity between responders and non-responders; specifically, the dynamics of alpha and gamma activity strongly reflected VNS efficacy. Using individual EEG reactivity to develop and validate a predictive model, we discriminated between responders and non-responders with 86% accuracy, 83% sensitivity, and 90% specificity. Conclusion: We present a new statistical model with which EEG reactivity to external stimuli during routine presurgical evaluation can be seen as a promising avenue for the identification of patients with favorable VNS outcome. This novel method for the prediction of VNS efficacy might represent a breakthrough in the management of drug-resistant epilepsy, with wide-reaching medical and economic implications.
ER  -

BRÁZDIL, Milan; Irena DOLEŽALOVÁ; Eva KORIŤÁKOVÁ; Jan CHLÁDEK; Robert ROMAN; Martin PAIL; Pavel JURAK; Daniel Joel SHAW a Jan CHRASTINA. EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics. \textit{FRONTIERS IN NEUROLOGY}. LAUSANNE: FRONTIERS MEDIA SA, 2019, roč.~10, č.~392, s.~1-11. ISSN~1664-2295. Dostupné z: https://dx.doi.org/10.3389/fneur.2019.00392.

Přehled o publikaci